SAILPOINT TECHNOLOGIES, INC.

Systems and methods are disclosed relating to mechanisms for performing scoped investigations into potential collusion fraud where different sides of an SoD risk are found in different people, and to identify likely cases of such collusion, or at least potentially suspicious behavior that should be carefully audited. Systems and method can utilize ML/AI engines and scoring of data (activities) across various platforms to review not only a person's actions, but the actions of people with which they have relationships. In some embodiments, systems standardize data across multiple platforms and analyze data in light of other data from other users to find patterns associated two or more individuals involved in different parts of an SOD risk.

Methods and systems for identity governance that provide for the identification of common or unique access items (e.g., identity management artifacts that may grant access). Certain embodiments may leverage representative data structures that represent an enterprise's identity management data to determine common or unique identity management access items represented in those data structures. In other embodiments, a machine learning model may be trained based on identity management data and utilize predictive scores to determine common or unique identity management access items.

Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing roles of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize role graphs to assess the role structure of a distributed enterprise computing environment.

Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize artificial intelligence approaches for determining health indicators for the identity management state of an enterprise. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize one or more components to generate signals associated with the identity management state of an enterprise based on a network identity graph and evaluate feature spaces of these input signals from these components based on a global objective function or the like.

Systems and methods for embodiments of identity management systems and data models used by identity management systems are disclosed. Embodiments of the identity management systems and associated data models as disclosed herein may associate identities with their respective entitlements, while preserving the hierarchy imposed by the source system from which those identities or entitlement were derived, including the hierarchical structure that resulted in the (direct or effective) assignment of such an entitlement, along with the hierarchical nature of the digital assets to which those entitlements pertain. Using embodiments of the disclosed data model embodiments of identity management systems may implement tasks, processes or policies that take advantage of the ability to easily navigate between an identity and its respective entitlements, the management structures that resulted in the entitlement being assigned or the hierarchical relationships between the digital assets corresponding to those entitlements.

Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities or entitlements of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity governance systems may include an intelligent decision support agent to provide an approval or denial recommendation for an access request. To provide an approval or denial recommendation, the intelligent agent may utilize a classifier trained on historical certification data. The intelligent agent may utilize features which represent relevant signals to the approval or denial decision including features that may be associated with a network graph of the identities and entitlements of the enterprise computing environment.

Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities, roles, entitlements or other identity management artifacts of a distributed networked enterprise computing environment. Specifically, embodiments of an artificial intelligence based identity management systems may perform predictive modeling for entitlement diffusion or role evolution or other aspects of identity management artifact using network identity graphs.

Systems and methods for embodiments of artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may support the creation, association, searching, or visualization of any relevant context to identity management assets for a variety of purposes, including the creation of nested identity management artifacts in a search index and search syntaxes for querying such nested artifacts.

Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.

Systems and methods for network security are provided. Various embodiments issue single use certificates for validating remote endpoints access to the private network. Some embodiments use a triage zone (or triage gateway) to which remote device can calls into using a static issued certificate. However, instead of granting complete access to the virtual private network, the use of this static certificate only grants access to the triage zone where further validation of the endpoint without any access to sensitive content on the private network. The endpoint can be connected to an ID manager within the triage zone. The endpoint can then send the username and password to the ID manager that can create a single use certificate (e.g., valid for a limited period of time). While valid, the single use certificate can be used by the remote device to gain access to the production zone using a VPN tunnel.